<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>性能优化 on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/%E6%80%A7%E8%83%BD%E4%BC%98%E5%8C%96/</link><description>Recent content in 性能优化 on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Wed, 24 Sep 2025 11:01:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/%E6%80%A7%E8%83%BD%E4%BC%98%E5%8C%96/index.xml" rel="self" type="application/rss+xml"/><item><title>Elasticsearch 索引策略：ILM 生命周期管理与写入性能优化</title><link>https://socake.github.io/posts/elasticsearch-index-optimization/</link><pubDate>Wed, 24 Sep 2025 11:01:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/elasticsearch-index-optimization/</guid><description>ILM 四阶段配置、rollover 策略、bulk 写入调优，以及分片数规划和 mapping 爆炸的避坑指南。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/elasticsearch-index-optimization/featured.jpg"/></item><item><title>PostgreSQL 运维实战：配置调优、连接池、慢查询与高可用</title><link>https://socake.github.io/posts/postgresql-ops-practice/</link><pubDate>Tue, 18 Mar 2025 10:15:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/postgresql-ops-practice/</guid><description>系统梳理 PostgreSQL 运维核心技能：从 shared_buffers、WAL 参数调优，到 PgBouncer 事务模式配置；从 pg_stat_statements 慢查询分析到 PITR 时间点恢复；以及主从流复制、膨胀表清理和 Prometheus 监控指标的完整实践。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/postgresql-ops-practice/featured.jpg"/></item><item><title>MySQL 深度调优：从 Buffer Pool 到锁等待的生产手册</title><link>https://socake.github.io/posts/mysql-performance-tuning-deep-dive/</link><pubDate>Fri, 18 Oct 2024 14:30:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/mysql-performance-tuning-deep-dive/</guid><description>你有没有过这种体验：按网上教程把 innodb_buffer_pool_size 调到 75%、关了 query cache、打开了 innodb_file_per_table，然后告诉自己&amp;quot;MySQL 调优就这样了&amp;quot;？真正的调优是一个持续观察、假设、验证、回滚的过程。这篇文章把我在过去几年维护的十几套 MySQL 实例上积累的调参经验整理出来，每一条都能追到具体指标和业务效果。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/mysql-performance-tuning-deep-dive/featured.jpg"/></item></channel></rss>